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DeepSeek R1 Distill Llama 70B vs Kimi K2-Instruct-0905
Comprehensive side-by-side LLM comparison
Kimi K2-Instruct-0905 leads with 53.6% higher average benchmark score. Overall, Kimi K2-Instruct-0905 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek R1 Distill Llama 70B is a language model developed by DeepSeek. It achieves strong performance with an average score of 76.0% across 4 benchmarks. It excels particularly in MATH-500 (94.5%), AIME 2024 (86.7%), GPQA (65.2%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
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Moonshot AI
Kimi K2-Instruct-0905 is a language model developed by Moonshot AI. It achieves strong performance with an average score of 64.1% across 29 benchmarks. It excels particularly in MATH-500 (97.4%), MMLU-Redux (92.7%), IFEval (89.8%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.
7 months newer
DeepSeek R1 Distill Llama 70B
DeepSeek
2025-01-20
Kimi K2-Instruct-0905
Moonshot AI
2025-09-05
Performance Metrics
Context window and performance specifications
Average performance across 29 common benchmarks
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DeepSeek R1 Distill Llama 70B
Average Score:10.5%
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Kimi K2-Instruct-0905
Average Score:64.1%(+53.6%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Distill Llama 70B
1 providers
DeepInfra
Throughput: 37 tok/s
Latency: 0.65ms
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Kimi K2-Instruct-0905
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DeepSeek R1 Distill Llama 70B
Avg Score:10.5%
Providers:1
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Kimi K2-Instruct-0905
Avg Score:64.1%(+53.6%)
Providers:0